Human trafficking in nairaland digital community: A corpus-assisted critical discourse study

Abstract

Human trafficking in Nigeria as a topical issue has enjoyed more sociological interrogation with very scant attention in linguistics and discourse. This paper applies a corpus-assisted critical discourse study to examine representative posts on human trafficking in Nigeria (2019 to 2022) retrieved from the Nairaland digital community. Using the Sketch Engine corpus tool and social actors representation model, this paper investigates how different constructions were deployed by participants to represent human trafficking, human traffickers and traffick victims in Nigeria. Findings suggest four constructions oriented to negativity: prostitution/commodification of sex, abuse of underage for sexual satisfaction, maltreatment of others for huge labour, dismembering of humans for occultism and health-assurance. Participants deployed role allocation, nominalisation, and others to negatively evaluate human traffickers, especially as economic usurpers, exploiters, and fraudsters, while the traffick-victims were represented as naïve, non-violent, armless, defenceless and (in)active recipients of the activities of the human traffickers. The dominant negative constructs manifested implicitly and explicitly through tagging, negative comparison, appeal to sentimentalities, and expression of detest, while the positive constructs of victims manifested through pity and appeal to humanity. Online participants attack the political class, and declare their ideological stances on human traffickers in Nigeria, making efforts to project suppressed stances.